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Přibilová A, Švehlíková J, Šašov M, Zelinka J, Ondrušová B, Hatala R, Tyšler M. Autocorrelation maps for optimal setting in cardiac resynchronization therapy. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2025; 260:108519. [PMID: 39631246 DOI: 10.1016/j.cmpb.2024.108519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Revised: 10/31/2024] [Accepted: 11/15/2024] [Indexed: 12/07/2024]
Abstract
BACKGROUND AND OBJECTIVE Patients with chronic heart failure are treated with implanted devices artificially stimulating the ventricular myocardium to support the ventricular activation propagation dynamics. The criterion for stimulation/pacing timing is a shortening of the QRS duration in the ECG signal. The study suggests additional ECG parameters that could be helpful in cardiac resynchronization therapy (CRT) device pacing settings. METHODS This issue was approached by computing and evaluating autocorrelation maps derived from body surface potential maps during the QRS complex. The autocorrelation maps were calculated from the body surface potential maps of seventeen patients, fourteen of whom were diagnosed with the left bundle branch block (LBBB) and three with the right bundle branch block (RBBB). Eleven of the LBBB patients were responders, and all three RBBB patients and three LBBB patient were non-responders. The body surface potential maps were measured during their spontaneous heart rhythm and optimal CRT setting. The patients' autocorrelation maps were compared with the autocorrelation maps of a control group of 33 healthy persons using two-sample Kolmogorov-Smirnov and Wilcoxon rank-sum statistical tests. RESULTS The autocorrelation maps from spontaneous rhythm were significantly different (p < 0.00008) in healthy and LBBB groups, which was shown on 19 parameters extracted from the autocorrelation maps by both the statistical tests of equality. In the optimal CRT setting in the LBBB responders, four of the studied parameters (Shannon entropy of the histogram of the autocorrelation map's values, and mean, standard deviation, and geometrical mean of the autocorrelation map's positive values) were not significantly different from the parameters of the healthy subjects (p > 0.19). CONCLUSIONS Selected parameters of autocorrelation maps can be used as additional parameters for optimal CRT pacing settings, leading to patients' positive responses to the treatment.
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Affiliation(s)
- Anna Přibilová
- Institute of Measurement Science, Department of Biomeasurements, Slovak Academy of Sciences, Bratislava, Slovakia.
| | - Jana Švehlíková
- Institute of Measurement Science, Department of Biomeasurements, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Michal Šašov
- National Institute of Cardiovascular Diseases, Department of Arrhythmias and Pacing, Bratislava, Slovakia
| | - Ján Zelinka
- Institute of Measurement Science, Department of Biomeasurements, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Beáta Ondrušová
- Institute of Measurement Science, Department of Biomeasurements, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Róbert Hatala
- National Institute of Cardiovascular Diseases, Department of Arrhythmias and Pacing, Bratislava, Slovakia
| | - Milan Tyšler
- Institute of Measurement Science, Department of Biomeasurements, Slovak Academy of Sciences, Bratislava, Slovakia
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Tonko JB, MacLean E, Whitaker-Axon S, Monkhouse C, Elliott J, Hunter RJ, Dhinoja M, Schilling R, Chow A, Lambiase PD. Evaluation of Non-Invasive Isochronal Late Activation Mapping in Scar Related VT with Electrocardiographic Imaging against Contact Mapping. Heart Rhythm 2025:S1547-5271(25)00196-1. [PMID: 39978452 DOI: 10.1016/j.hrthm.2025.02.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2024] [Revised: 01/22/2025] [Accepted: 02/10/2025] [Indexed: 02/22/2025]
Abstract
BACKGROUND Deceleration zones (DZ) represent important ablation targets in scar-related ventricular tachycardias (VT). Novel Electrocardiographic Imaging (ECGI) techniques could identify DZs instantly and non-invasively. OBJECTIVE Evaluate a novel ECGI last deflection detection algorithm for non-invasive isochronal late activation substrate mapping (iLAM) in scar-related VT procedures against electroanatomical mapping (EAM) METHODS: Prospectively recruited scar-related VT ablation patients underwent contact and ECGI mapping. SR or RV-paced baseline maps were acquired, temporal signal averaging performed and unipolar electrograms (EGM) reconstructed. Local activation time was annotated to the last negative deflection (LD) before T-wave. iLAMs were generated by dividing activation maps in 8 and 12 isochronal zones. Number and location of ECGI late activation areas (LAA) and ECGI-DZ were compared to EAM on a segmental basis. RESULTS 47 patients (27.7% ischemic, 72.3% non-ischemic) were studied, epicardial data was acquired in 30 (63.8%). No significant difference in the absolute LAAs were identified on ECGI versus EAM (p=0.161), latest EGM was significantly later on EAM. ECGI late activation mapping yielded a sensitivity of 68% and specificity of 95%. EAM identified DZs in 91.5%, ECGI in 93.6% of patients (p 0.5). ECGI detected significant more DZs per map than EAM (2.5±1.2 vs 1.2±0.8, p <0.001) but less steep activation gradients (p 0.002). Sensitivity for ECGI-DZ mapping was 46.8%, specificity 90.6% in the context of a high number of total segments, and pre-emptive exclusion of interpolated/artificial DZ (identified in 95.7%). CONCLUSION ECGI with LD detects late activation zones in the majority of cases with a moderate sensitivity. Yet, detailed functional substrate mapping including accurate localisation of local DZs remains challenging with low sensitivity precluding its clinical use for this indication in its current form.
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Affiliation(s)
- Johanna B Tonko
- Institute for Cardiovascular Science, University College, London; Department for Cardiology, St Bartholomew s Hospital, UK
| | - Edd MacLean
- Department for Cardiology, St Bartholomew s Hospital, UK
| | | | | | - James Elliott
- Department for Cardiology, St Bartholomew s Hospital, UK
| | - Ross J Hunter
- Department for Cardiology, St Bartholomew s Hospital, UK
| | - Mehul Dhinoja
- Department for Cardiology, St Bartholomew s Hospital, UK
| | | | - Anthony Chow
- Department for Cardiology, St Bartholomew s Hospital, UK
| | - Pier D Lambiase
- Institute for Cardiovascular Science, University College, London; Department for Cardiology, St Bartholomew s Hospital, UK.
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Cyr JA, Burdett C, Pürstl JT, Thompson RP, Troughton SC, Sinha S, Best SM, Cameron RE. Characterizing collagen scaffold compliance with native myocardial strains using an ex-vivo cardiac model: The physio-mechanical influence of scaffold architecture and attachment method. Acta Biomater 2024; 184:239-253. [PMID: 38942187 DOI: 10.1016/j.actbio.2024.06.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Revised: 05/30/2024] [Accepted: 06/21/2024] [Indexed: 06/30/2024]
Abstract
Applied to the epicardium in-vivo, regenerative cardiac patches support the ventricular wall, reduce wall stresses, encourage ventricular wall thickening, and improve ventricular function. Scaffold engraftment, however, remains a challenge. After implantation, scaffolds are subject to the complex, time-varying, biomechanical environment of the myocardium. The mechanical capacity of engineered tissue to biomimetically deform and simultaneously support the damaged native tissue is crucial for its efficacy. To date, however, the biomechanical response of engineered tissue applied directly to live myocardium has not been characterized. In this paper, we utilize optical imaging of a Langendorff ex-vivo cardiac model to characterize the native deformation of the epicardium as well as that of attached engineered scaffolds. We utilize digital image correlation, linear strain, and 2D principal strain analysis to assess the mechanical compliance of acellular ice templated collagen scaffolds. Scaffolds had either aligned or isotropic porous architecture and were adhered directly to the live epicardial surface with either sutures or cyanoacrylate glue. We demonstrate that the biomechanical characteristics of native myocardial deformation on the epicardial surface can be reproduced by an ex-vivo cardiac model. Furthermore, we identified that scaffolds with unidirectionally aligned pores adhered with suture fixation most accurately recapitulated the deformation of the native epicardium. Our study contributes a translational characterization methodology to assess the physio-mechanical performance of engineered cardiac tissue and adds to the growing body of evidence showing that anisotropic scaffold architecture improves the functional biomimetic capacity of engineered cardiac tissue. STATEMENT OF SIGNIFICANCE: Engineered cardiac tissue offers potential for myocardial repair, but engraftment remains a challenge. In-vivo, engineered scaffolds are subject to complex biomechanical stresses and the mechanical capacity of scaffolds to biomimetically deform is critical. To date, the biomechanical response of engineered scaffolds applied to live myocardium has not been characterized. In this paper, we utilize optical imaging of an ex-vivo cardiac model to characterize the deformation of the native epicardium and scaffolds attached directly to the heart. Comparing scaffold architecture and fixation method, we demonstrate that sutured scaffolds with anisotropic pores aligned with the native alignment of the superficial myocardium best recapitulate native deformation. Our study contributes a physio-mechanical characterization methodology for cardiac tissue engineering scaffolds.
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Affiliation(s)
- Jamie A Cyr
- Department of Materials Science & Metallurgy Cambridge University 27 Charles Babbage Road, Cambridge CB3 0FS, UK.
| | - Clare Burdett
- Department of Materials Science & Metallurgy Cambridge University 27 Charles Babbage Road, Cambridge CB3 0FS, UK
| | - Julia T Pürstl
- Department of Materials Science & Metallurgy Cambridge University 27 Charles Babbage Road, Cambridge CB3 0FS, UK
| | - Robert P Thompson
- Department of Materials Science & Metallurgy Cambridge University 27 Charles Babbage Road, Cambridge CB3 0FS, UK
| | - Samuel C Troughton
- Department of Materials Science & Metallurgy Cambridge University 27 Charles Babbage Road, Cambridge CB3 0FS, UK
| | - Sanjay Sinha
- Wellcome-MRC Cambridge Stem Cell Institute, Cambridge University, Jeffrey Cheah Biomedical Centre, Puddicombe Way, Cambridge CB2 0AW, UK
| | - Serena M Best
- Department of Materials Science & Metallurgy Cambridge University 27 Charles Babbage Road, Cambridge CB3 0FS, UK.
| | - Ruth E Cameron
- Department of Materials Science & Metallurgy Cambridge University 27 Charles Babbage Road, Cambridge CB3 0FS, UK.
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Leinveber P, Halamek J, Curila K, Prinzen F, Lipoldova J, Matejkova M, Smisek R, Plesinger F, Nagy A, Novak M, Viscor I, Vondra V, Jurak P. Ultra-high-frequency ECG volumetric and negative derivative epicardial ventricular electrical activation pattern. Sci Rep 2024; 14:5681. [PMID: 38454102 PMCID: PMC10920693 DOI: 10.1038/s41598-024-55789-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Accepted: 02/27/2024] [Indexed: 03/09/2024] Open
Abstract
From precordial ECG leads, the conventional determination of the negative derivative of the QRS complex (ND-ECG) assesses epicardial activation. Recently we showed that ultra-high-frequency electrocardiography (UHF-ECG) determines the activation of a larger volume of the ventricular wall. We aimed to combine these two methods to investigate the potential of volumetric and epicardial ventricular activation assessment and thereby determine the transmural activation sequence. We retrospectively analyzed 390 ECG records divided into three groups-healthy subjects with normal ECG, left bundle branch block (LBBB), and right bundle branch block (RBBB) patients. Then we created UHF-ECG and ND-ECG-derived depolarization maps and computed interventricular electrical dyssynchrony. Characteristic spatio-temporal differences were found between the volumetric UHF-ECG activation patterns and epicardial ND-ECG in the Normal, LBBB, and RBBB groups, despite the overall high correlations between both methods. Interventricular electrical dyssynchrony values assessed by the ND-ECG were consistently larger than values computed by the UHF-ECG method. Noninvasively obtained UHF-ECG and ND-ECG analyses describe different ventricular dyssynchrony and the general course of ventricular depolarization. Combining both methods based on standard 12-lead ECG electrode positions allows for a more detailed analysis of volumetric and epicardial ventricular electrical activation, including the assessment of the depolarization wave direction propagation in ventricles.
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Affiliation(s)
- Pavel Leinveber
- International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czech Republic.
| | - Josef Halamek
- Institute of Scientific Instruments, The Czech Academy of Sciences, Brno, Czech Republic
| | - Karol Curila
- Cardiocenter, Third Faculty of Medicine, Charles University and University Hospital Kralovske Vinohrady, Prague, Czech Republic
| | - Frits Prinzen
- Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, Netherlands
| | - Jolana Lipoldova
- International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czech Republic
- First Department of Internal Medicine and Cardioangiology, St. Anne's University Hospital Brno, Brno, Czech Republic
- Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Magdalena Matejkova
- International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czech Republic
| | - Radovan Smisek
- Institute of Scientific Instruments, The Czech Academy of Sciences, Brno, Czech Republic
- Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic
| | - Filip Plesinger
- Institute of Scientific Instruments, The Czech Academy of Sciences, Brno, Czech Republic
| | - Andrej Nagy
- International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czech Republic
- First Department of Internal Medicine and Cardioangiology, St. Anne's University Hospital Brno, Brno, Czech Republic
- Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Miroslav Novak
- International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czech Republic
- First Department of Internal Medicine and Cardioangiology, St. Anne's University Hospital Brno, Brno, Czech Republic
- Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Ivo Viscor
- Institute of Scientific Instruments, The Czech Academy of Sciences, Brno, Czech Republic
| | - Vlastimil Vondra
- Institute of Scientific Instruments, The Czech Academy of Sciences, Brno, Czech Republic
| | - Pavel Jurak
- Institute of Scientific Instruments, The Czech Academy of Sciences, Brno, Czech Republic
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